How to Use the Adobe Analytics MCP in OpenAI Agents SDK

Q: Can the OpenAI Agents SDK auto-discover Adobe Analytics tools?

Yes. The framework automatically registers tools like getreport and getmetrics. You skip writing custom API wrappers entirely.

Connect the OpenAI Agents SDK to your Adobe Analytics instance to build production-grade reporting agents.

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Connect Adobe Analytics MCP to OpenAI Agents SDK

Create your Vinkius account to connect Adobe Analytics to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Adobe Analytics with OpenAI Agents SDK

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Auto-discover report suites

Agents need to know where the data lives before they pull numbers. Passing this MCP Server to the OpenAI Agent constructor exposes the `list_report_suites` tool instantly without manual configuration. Tracing via the OpenAI dashboard shows exactly when the agent calls this tool. You see the raw response, allowing you to debug why an agent picked a specific suite ID.

Enforce JSON constraints for OpenAI Agents SDK

Pulling complex data requires precision. The `get_report` tool expects a highly specific JSON request body, which native OpenAI guardrails validate before the HTTP call ever fires. Bad parameters fail early instead of wasting tokens. If the agent tries to request an invalid date range, the framework catches the error and forces a retry automatically.

Map dimensions and metrics

Building a custom funnel means knowing exactly which variables exist. Handoffs let a specialized discovery agent run `get_dimensions` and `get_metrics` to map the available schema. Once mapped, a separate reporting agent takes over. This multi-agent approach keeps context windows clean while querying `list_segments` to find target audiences.

Setup guide

Set up Adobe Analytics MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Adobe Analytics tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Adobe Analytics tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Adobe Analytics tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Adobe Analytics Agent",
            instructions="You have access to Adobe Analytics tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Adobe Analytics. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Adobe Analytics MCP in OpenAI Agents SDK

Install the openai-agents package. Pass the Vinkius MCP endpoint via MCPServerStreamableHttp into your agent's mcp_servers list. Set cacheToolsList=True for faster startup.

Yes. The framework automatically registers tools like get_report and get_metrics. You skip writing custom API wrappers entirely.

The JSON body sent to the reporting tool likely failed validation. Check the OpenAI dashboard traces to see the exact payload your agent attempted to send.

Any model supported by the OpenAI framework handles this MCP Server. GPT-4o performs best when constructing the complex JSON required for custom reports.

Vinkius runs every connection inside a V8 Isolate Sandbox. Your raw page views and device type data pass directly from the provider to your agent through an ephemeral tunnel that destroys itself after the run.

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